Data Scientist

3 weeks ago

Bloomington, Illinois, United States Capgemini Government Solutions LLC Full time
Job Description

Capgemini Government Solutions LLC is seeking a highly motivated data scientist to develop innovative solutions using Computer Vision and Machine Learning algorithms. The successful candidate will have the opportunity to conceive and deliver cutting-edge data science solutions to the U.S. Public Sector, addressing critical national and global challenges such as health, climate change, and national security.

This individual will join our Data and AI practice in the DC Metro Area, with the flexibility to work from home if outside of the DC Metro Area. As a part of the rapidly expanding CGS Data and AI practice, the candidate will help our clients develop, deploy, and modernize their data estates and pipelines.

At Capgemini, we are committed to our staff's professional development and offer a wide range of training and educational resources. We provide education expense reimbursements as well as sponsor seminars, conferences, and certifications. Our practice leaders work with every team member to chart appropriate career paths and goals, ensuring that we all stay innovative and transformative.

Key Responsibilities:

  • Apply the latest Computer Vision and Machine Learning algorithms to build customer-centric solutions.
  • Modify and advance the state-of-the-art approaches in object detection and tracking to deliver the best workable solutions to customers.
  • Optimize the run-time performance of the latest Computer Vision and Machine Learning algorithms to meet customer's requirements on various hardware platforms.
  • Drive data science-related solutions based on evaluation of requirements, resources, and alternatives.
  • Conduct exploratory data analysis to evaluate data pipelines and construct data stores (structured, semi-structured, and unstructured) as needed to feed frameworks/models.
  • Develop custom algorithms, frameworks, and models or leverage available tools, libraries, and applications to solve complex problems.
  • Deploy data science solutions and develop methodologies to scale up.
  • Present and articulate findings and present solutions to clients and team members.
  • Maintain knowledge of advances of data science in industry and academia.
  • As needed, collaborate with internal and external collaborators to identify optical character recognition, automation, predictive modeling, pattern analysis, natural language processing, fraud detection, and other business cases for using data science.

Required Qualifications:

  • U.S. Citizenship is required.
  • Eligible to obtain and maintain a Government Security Clearance.
  • Bachelor's degree or higher in data science, statistics, computer science, economics, mathematics, information systems, or similar field preferred.
  • Minimum of two (2) years of professional experience with data science-delivery responsibilities such as:
    • Applying the Computer Vision and Machine Learning algorithms to build customer-centric solutions.
    • Modify and advance object detection and tracking to deliver solutions.
    • Optimize the run-time performance of t Computer Vision and Machine Learning algorithms to meet customer's requirements on various hardware platforms.
  • Experience programming in languages such as Python, R, Scala, SQL, JavaScript, C/C++, and Java.
  • Experience using libraries and frameworks such as TensorFlow, PyTorch, Spark ML/MLlib, and Jupyter.
  • Excellent verbal and written communication skills.
  • Ability to multi-task and stay flexible in a dynamic work environment.

Desired Qualifications:

  • Active Government Security clearance.
  • Data Science, ML, AI, or Cloud certifications.
  • Experience working in an IT project team following SDLC and DevOps methodologies.
  • Experience using tools such as Azure's Machine Learning and Cognitive Services; AWS's SageMaker, Polly and Rekognition; DataRobot; or
  • Experience with Deep Learning methods in NLP, sentiment analysis, topic modeling, and graph theory and databases.

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